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Book ChapterDOI

A Novel Watermarking Technique for Multimedia Security

TL;DR: This chapter presents a robust and secure framework for multimedia security using digital watermarking based on dynamic stochastic resonance (DSR), which effectively utilizes the noise introduced during the attacks to enhance the robustness and authenticity of the watermark.
Abstract: This chapter presents a robust and secure framework for multimedia security using digital watermarking. In the proposed scheme, a cover image is transformed into frequency domain based on all phase discrete bi-orthogonal transform (APDBT) followed by singular value decomposition. A gray-scale watermark is then embedded by modifying the singular values. For watermark extraction, a new procedure based on dynamic stochastic resonance (DSR) is employed. The proposed DSR based extraction effectively utilizes the noise introduced during the attacks to enhance the robustness and authenticity of the watermark. A detailed experimental analysis is finally conducted to demonstrate the robustness and efficiency of the proposed scheme against a variety of attacks.
References
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Journal ArticleDOI
TL;DR: A novel watermarking algorithm based on singular value decomposition (SVD) is proposed and results show that the newwatermarking method performs well in both security and robustness.
Abstract: Digital watermarking has been proposed as a solution to the problem of copyright protection of multimedia documents in networked environments. There are two important issues that watermarking algorithms need to address. First, watermarking schemes are required to provide trustworthy evidence for protecting rightful ownership. Second, good watermarking schemes should satisfy the requirement of robustness and resist distortions due to common image manipulations (such as filtering, compression, etc.). In this paper, we propose a novel watermarking algorithm based on singular value decomposition (SVD). Analysis and experimental results show that the new watermarking method performs well in both security and robustness.

978 citations

Journal ArticleDOI
TL;DR: A new approach to mask the watermark according to the characteristics of the human visual system (HVS) is presented, which is accomplished pixel by pixel by taking into account the texture and the luminance content of all the image subbands.
Abstract: A watermarking algorithm operating in the wavelet domain is presented. Performance improvement with respect to existing algorithms is obtained by means of a new approach to mask the watermark according to the characteristics of the human visual system (HVS). In contrast to conventional methods operating in the wavelet domain, masking is accomplished pixel by pixel by taking into account the texture and the luminance content of all the image subbands. The watermark consists of a pseudorandom sequence which is adaptively added to the largest detail bands. As usual, the watermark is detected by computing the correlation between the watermarked coefficients and the watermarking code, and the detection threshold is chosen in such a way that the knowledge of the watermark energy used in the embedding phase is not needed, thus permitting one to adapt it to the image at hand. Experimental results and comparisons with other techniques operating in the wavelet domain prove the effectiveness of the new algorithm.

949 citations

Book
15 Feb 2007
TL;DR: The Symbiosis of Noise and Order - Concluding Remarks as discussed by the authors is based on Probability Theory and Markovian Dichotomous Noise: An Exactly Soluble Colored-Noise Case.
Abstract: Elements of Probability Theory.- Stochastic Models of Environmental Fluctuations.- Markovian Diffusion Processes.- Stochastic Differential Equations.- Noise-Induced Nonequilibrium Phase Transitions.- Noise-Induced Transitions in Physics, Chemistry, and Biology.- External Colored Noise.- Markovian Dichotomous Noise: An Exactly Soluble Colored-Noise Case.- The Symbiosis of Noise and Order - Concluding Remarks.

669 citations

Journal ArticleDOI
TL;DR: In this article, singular value decomposition (SVD) and pseudoinverse techniques are used for image restoration in space-variant point spread functions (SVPSF).
Abstract: The use of singular value decomposition (SVD) techniques in digital image processing is of considerable interest for those facilities with large computing power and stringent imaging requirements. The SVD methods are useful for image as well as quite general point spread function (impulse response) representations. The methods represent simple extensions of the theory of linear filtering. Image enhancement examples will be developed illustrating these principles. The most interesting cases of image restoration are those which involve space variant imaging systems. The SVD, combined with pseudoinverse techniques, provides insight into these types of restorations. Illustrations of large scale N2× N2point spread function matrix representations are discussed along with separable space variant N2× N2point spread function matrix examples. Finally, analysis and methods for obtaining a pseudoinverse of separable space variant point spread functions (SVPSF's) are presented with a variety of object and imaging system dagradations.

362 citations

Journal ArticleDOI
TL;DR: Stochastic resonance (SR) as mentioned in this paper provides a glaring example of a noise-induced transition in a nonlinear system driven by an information signal and noise simultaneously, and some characteristics of the information signal (amplification factor, signal-to-noise ratio, the degrees of coherence and of order) at the output of the system are significantly improved at a certain optimal noise level.
Abstract: Stochastic resonance (SR) provides a glaring example of a noise-induced transition in a nonlinear system driven by an information signal and noise simultaneously. In the regime of SR some characteristics of the information signal (amplification factor, signal-to-noise ratio, the degrees of coherence and of order, etc.) at the output of the system are significantly improved at a certain optimal noise level. SR is realized only in nonlinear systems for which a noise-intensity-controlled characteristic time becomes available. In the present review the physical mechanism and methods of theoretical description of SR are briefly discussed. SR features determined by the structure of the information signal, noise statistics and properties of particular systems with SR are studied. A nontrivial phenomenon of stochastic synchronization defined as locking of the instantaneous phase and switching frequency of a bistable system by external periodic force is analyzed in detail. Stochastic synchronization is explored in single and coupled bistable oscillators, including ensembles. The effects of SR and stochastic synchronization of ensembles of stochastic resonators are studied both with and without coupling between the elements. SR is considered in dynamical and nondynamical (threshold) systems. The SR effect is analyzed from the viewpoint of information and entropy characteristics of the signal, which determine the degree of order or self-organization in the system. Applications of the SR concept to explaining the results of a series of biological experiments are discussed.

344 citations